Data Scientist
Tubi- Full Time
- Junior (1 to 2 years)
Candidates should possess a Bachelor’s degree in mathematics, economics, statistics, software engineering, computer science, physics, or another quantitative discipline, with an advanced degree preferred. They must have at least 5 years of experience in data science and/or modeling, demonstrating deep technical understanding of machine learning, statistics, data science, and related fields. Proficiency in quantitative software tools such as Python, R, and SQL is essential, along with experience working with high dimensional data sets and a pragmatic, team-oriented approach.
The Senior Research Data Scientist will conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets, develop, train, and deploy state-of-the-art machine learning models to solve measurement problems, and work with the Data Engineering team to design and implement efficient data pipelines. They will provide technical guidance and mentorship to junior data scientists, stay up-to-date with the latest data science techniques, and explore novel approaches to solve complex challenges, ultimately contributing to the growth of iSpot.tv’s audience measures, lift analytics, and creative testing.
TV ad measurement and attribution services
iSpot.tv specializes in TV Attribution, helping businesses understand the impact of their TV advertising on real-world results like store visits and sales. Their platform uses data from a large collection of TV ads and insights from 12 million opted-in Smart TVs to provide real-time measurement of ad impressions and viewer attention. iSpot primarily serves disruptive brands across various industries, offering a subscription-based service that integrates with clients' existing marketing tools to enhance the effectiveness of their TV campaigns. Unlike competitors, iSpot focuses on delivering advanced analytics and insights that allow brands to optimize their advertising strategies based on actual business outcomes. The company's goal is to empower brands to maximize their advertising investments through precise measurement and actionable insights.